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Virology2017; 513; 108-113; doi: 10.1016/j.virol.2017.09.023

Dynamics of lentiviral infection in vivo in the absence of adaptive immune responses.

Abstract: Understanding the dynamics of acute viral infection is crucial for developing strategies to prevent and control infection. In this study, lentiviral dynamics in a host without adaptive immunity were examined in order to determine kinetic parameters of infection and quantify the effect of neutralizing antibodies in preventing infection, using mathematical modeling of data from equine infectious anemia virus (EIAV) infection of horses with severe combined immunodeficiency (SCID). Estimated parameters were used to calculate the basic reproductive number and virus doubling time and found that the rate that antibodies neutralized virus was ~18 times greater than the virus clearance rate. These results establish EIAV replication kinetics in SCID horses and the minimal efficacy of antibodies that blocked infection. Furthermore, they indicate that EIAV is at most mildly cytopathic. This study advances our understanding of EIAV infection and may have important implications for the control of other viral infections, including HIV.
Publication Date: 2017-10-19 PubMed ID: 29055819DOI: 10.1016/j.virol.2017.09.023Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • N.I.H.
  • Extramural
  • Research Support
  • Non-U.S. Gov't
  • Research Support
  • U.S. Gov't
  • Non-P.H.S.

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This research examines the dynamics of a lentivirus infection (specifically, the equine infectious anemia virus or EIAV) in hosts that do not have an adaptive immune response, using mathematical modeling. Among the findings, the rate by which antibodies neutralized the virus was found to be approximately 18 times greater than the virus clearance rate, establishing the minimum effectiveness of antibodies that can block infection.

Research Background

  • The paper focuses on understanding the dynamics of acute viral infection, vital for creating effective strategies to control and prevent such infections.
  • Lentiviruses, like EIAV and HIV, are a family of viruses that cause a variety of diseases in mammals, including AIDS in humans. Here, research is conducted on EIAV, which infects horses.

Methodology

  • The study involves observing lentiviral dynamics in a host without adaptive immunity (an immune response that can identify and remember specific pathogens to generate immunity).
  • The kinetic parameters of infection and the quantitative impact of neutralizing antibodies in preventing the infection are determined using mathematical modeling.
  • The subjects of the study are horses with Severe Combined Immunodeficiency (SCID), a group of rare disorders caused by mutations in different genes involved in the development and function of infection-fighting immune cells. Horses with SCID are unable to mount effective immune responses.

Research Findings

  • The research estimates certain parameters, which are used to calculate variables such as the basic reproductive number, virus doubling time, and the rate of virus neutralization by antibodies, etc.
  • A key finding of the research is that the rate at which antibodies neutralize the virus is approximately 18 times greater than the virus clearance rate. This helps determine the minimum efficacy of antibodies that can effectively block the infection.
  • The established EIAV replication kinetics in SCID horses indicate that EIAV is at most mildly cytopathic, i.e., causing cell damage or cell death.

Research Implications

  • Findings from this research improve our understanding of EIAV infection and its replication kinetics.
  • These conclusions may have critical implications for controlling other viral infections, including HIV, by providing insight into the dynamics of viral infections in the absence of adaptive immunity.

Cite This Article

APA
Schwartz EJ, Vaidya NK, Dorman KS, Carpenter S, Mealey RH. (2017). Dynamics of lentiviral infection in vivo in the absence of adaptive immune responses. Virology, 513, 108-113. https://doi.org/10.1016/j.virol.2017.09.023

Publication

ISSN: 1096-0341
NlmUniqueID: 0110674
Country: United States
Language: English
Volume: 513
Pages: 108-113
PII: S0042-6822(17)30335-5

Researcher Affiliations

Schwartz, Elissa J
  • School of Biological Sciences, Washington State University, Pullman, WA 99164, USA; Department of Mathematics and Statistics, Washington State University, Pullman, WA 99164, USA. Electronic address: ejs@wsu.edu.
Vaidya, Naveen K
  • Department of Mathematics and Statistics, San Diego State University, San Diego, CA 92182, USA.
Dorman, Karin S
  • Department of Statistics, Iowa State University, Ames, IA 50011, USA; Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA 50011, USA.
Carpenter, Susan
  • Department of Animal Science, Iowa State University, Ames, IA 50011, USA.
Mealey, Robert H
  • Department of Veterinary Microbiology and Pathology, Washington State University, Pullman, WA 99164, USA.

MeSH Terms

  • Animals
  • Antibodies, Neutralizing / immunology
  • Antibodies, Viral / immunology
  • Equine Infectious Anemia / prevention & control
  • Equine Infectious Anemia / virology
  • Horses
  • Infectious Anemia Virus, Equine / immunology
  • Infectious Anemia Virus, Equine / isolation & purification
  • Models, Theoretical
  • Severe Combined Immunodeficiency / complications
  • Severe Combined Immunodeficiency / veterinary
  • Viral Load

Citations

This article has been cited 7 times.
  1. Hull-Nye D, Meadows T, Smith SR, Schwartz EJ. Key Factors and Parameter Ranges for Immune Control of Equine Infectious Anemia Virus Infection.. Viruses 2023 Mar 6;15(3).
    doi: 10.3390/v15030691pubmed: 36992401google scholar: lookup
  2. Schwartz EJ, Costris-Vas C, Smith SR. Modelling Mutation in Equine Infectious Anemia Virus Infection Suggests a Path to Viral Clearance with Repeated Vaccination.. Viruses 2021 Dec 6;13(12).
    doi: 10.3390/v13122450pubmed: 34960718google scholar: lookup
  3. Vaidya NK, Bloomquist A, Perelson AS. Modeling Within-Host Dynamics of SARS-CoV-2 Infection: A Case Study in Ferrets.. Viruses 2021 Aug 18;13(8).
    doi: 10.3390/v13081635pubmed: 34452499google scholar: lookup
  4. Barker CT, Vaidya NK. Modeling HIV-1 infection in the brain.. PLoS Comput Biol 2020 Nov;16(11):e1008305.
    doi: 10.1371/journal.pcbi.1008305pubmed: 33211686google scholar: lookup
  5. Mutua JM, Perelson AS, Kumar A, Vaidya NK. Modeling the Effects of Morphine-Altered Virus Specific Antibody Responses on HIV/SIV Dynamics.. Sci Rep 2019 Apr 1;9(1):5423.
    doi: 10.1038/s41598-019-41751-8pubmed: 30931971google scholar: lookup
  6. Cangelosi RA, Schwartz EJ, Wollkind DJ. A Quasi-Steady-State Approximation to the Basic Target-Cell-Limited Viral Dynamics Model with a Non-Cytopathic Effect.. Front Microbiol 2018;9:54.
    doi: 10.3389/fmicb.2018.00054pubmed: 29445361google scholar: lookup
  7. Schwartz EJ, Smith RJ. Identifying the Conditions Under Which Antibodies Protect Against Infection by Equine Infectious Anemia Virus.. Vaccines (Basel) 2014 May 27;2(2):397-421.
    doi: 10.3390/vaccines2020397pubmed: 26344625google scholar: lookup